Isha Gujrathi
Isha Gujrathi
Clinical Fellow, Dana Farber Cancer Insititute, Brigham and Women's Hospital
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα bwh.harvard.edu
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Prostate cancer detection using deep convolutional neural networks
S Yoo, I Gujrathi, MA Haider, F Khalvati
Scientific reports 9 (1), 1-10, 2019
672019
A transfer learning approach for automated segmentation of prostate whole gland and transition zone in diffusion weighted mri
S Motamed, I Gujrathi, D Deniffel, A Oentoro, MA Haider, F Khalvati
arXiv preprint arXiv:1909.09541, 2019
92019
Three-dimensional neural network to automatically assess liver tumor burden change on consecutive liver MRIs
A Goehler, TMH Hsu, R Lacson, I Gujrathi, R Hashemi, G Chlebus, ...
Journal of the American College of Radiology 17 (11), 1475-1484, 2020
42020
PI-RADS guided discovery radiomics for characterization of prostate lesions with diffusion-weighted MRI
F Khalvati, Y Zhang, PHU Le, I Gujrathi, MA Haider
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 1095042, 2019
22019
Closing the Loop on Unscheduled Diagnostic Imaging Orders: A Systems-Based Approach
R Lacson, I Gujrathi, M Healey, K Fanning, F Morisset, S Hooton, ...
Journal of the American College of Radiology 18 (1), 60-67, 2021
12021
Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection
K Namdar, I Gujrathi, MA Haider, F Khalvati
arXiv preprint arXiv:1911.01477, 2019
12019
Predictors of malignancy in incidental adnexal lesions identified on CT in patients with prior non-ovarian cancer
AB Shinagare, I Gujrathi, L Cochon, KS Burk, E Sadowski, R Khorasani
Abdominal Radiology, 1-8, 2021
2021
Safe reduction of MRI-targeted biopsies in men with PI-RADSv2 category 3 lesions: cross-institutional validation of a multivariate risk model based on clinical parameters
D Dominik, K Namdar, I Gujrathi, E Salinas-Miranda, A Toi, N Perlis, ...
European Congress of Radiology, 2020
2020
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